Dey-Rao R, Sinha A A
Department of Dermatology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 6078 Clinical and Translational Research Center, 875 Ellicott Street, Buffalo, NY 14203, United States.
Genomics. 2017 Jul;109(3-4):165-176. doi: 10.1016/j.ygeno.2017.02.005. Epub 2017 Mar 2.
We studied genome-wide gene expression from bald and haired scalp of individuals to evaluate pathogenic mechanisms underlying the development and progression of androgenetic alopecia (AGA). Unbiased analyses revealed a "bald pathology" based signature. Ontology enrichment analyses of the differentially expressed genes (DEGs) underscored apoptosis, cell proliferation, perturbed neurological pathways, and WNT signaling as central drivers of the hair loss process. Interactome analysis uncovered several known and novel key transcriptional regulators potentially affecting disease pathogenesis both within and "hidden" from the dataset. One DEG mapped within one of the fourteen identified transcriptionally active "hot spots" across the genome and coincided with a previous AGA-associated gene. The remaining DEGs within the "hot spots" offer an additional set of potential disease linked loci that may help to guide future studies aimed at identifying disease risk genes. Finally, we used in silico analyses to identify five molecular targets for exploration in future AGA therapies.
我们研究了个体秃发和有发头皮的全基因组基因表达,以评估雄激素性脱发(AGA)发生和发展的致病机制。无偏分析揭示了一种基于“秃发病理”的特征。对差异表达基因(DEG)的本体富集分析强调了细胞凋亡、细胞增殖、神经通路紊乱和WNT信号传导是脱发过程的核心驱动因素。相互作用组分析发现了几个已知的和新的关键转录调节因子,它们可能在数据集中影响疾病发病机制,也可能“隐藏”其中。一个DEG映射在全基因组中确定的14个转录活性“热点”之一内,并且与先前的AGA相关基因一致。“热点”内的其余DEG提供了另一组潜在的疾病相关位点,可能有助于指导未来旨在识别疾病风险基因的研究。最后,我们使用计算机分析来确定未来AGA治疗中可供探索的五个分子靶点。